Containers

Tag: Amazon ECS

Rolling EC2 AMI updates with capacity providers in Amazon ECS

When deploying containers to Amazon Elastic Container Service (Amazon ECS), customers have choices as to what level of management they want or need to have over the cluster compute. First there is AWS Fargate, which is a serverless compute engine that removes the need for customers to provision and manage servers. This approach simplifies the […]

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Improving daemon services in Amazon ECS

When using Amazon EC2 for compute capacity in Amazon Elastic Container Service (Amazon ECS) clusters, a common pattern customers follow is to schedule a single instance of a task across all or select nodes in the cluster. This includes running tasks that handle log and/or metrics collection such as Fluentd or the DataDog agent, node […]

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Managing compute for Amazon ECS clusters with capacity providers.

Customers running containers are often challenged with having to manage and understand how to run and scale the compute for their clusters. For customers taking advantage of Amazon Elastic Container Service (Amazon ECS) on AWS Fargate, the burden is lifted as the underlying compute layer is fully managed by AWS, enabling the customer to focus […]

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Autoscaling Amazon ECS services based on custom CloudWatch and Prometheus metrics

Introduction Horizontal scalability is a critical aspect of cloud native applications. Microservices deployed to Amazon ECS leverage the Application Auto Scaling service to automatically scale based on observed metrics data. Amazon ECS measures service utilization based on CPU and memory resources consumed by the tasks that belong to a service and publishes CloudWatch metrics, namely, […]

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Klook Case Study

About Klook: Klook, a world-leading travel activities and services booking platform, empowers travelers to discover and book on-demand local attractions, tours, transportation, food and exclusive experiences in more than 350 destinations around the world. More than 30 million people in over 180 markets use Klook’s website and award-winning app every month. Klook platforms support 41 […]

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New look for Amazon ECS in the AWS Management Console

Recently we launched a new look and experience for Amazon ECS in the AWS Management Console. Since its launch in 2014, Amazon Elastic Container Service (Amazon ECS) has served as a simple way for customers to run production grade container workloads on AWS. Customers such as Disney+, Vanguard, Okta, Fidelity, and UbiSoft trust Amazon ECS […]

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Architecture of the solution "Using Windows Authentication with Linux Containers on Amazon ECS"

Using Windows Authentication with Linux Containers on Amazon ECS

This post shows how to configure a Linux container running on Amazon Elastic Container Service (Amazon ECS) to connect to a SQL Server database using Windows (or Integrated) Authentication. Windows Authentication is the recommended mechanism to connect to SQL Server databases, but using it can be challenging when running containerized workloads.

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Authenticating with Docker Hub for AWS Container Services

Docker Hub has recently updated its terms of service to introduce rate limits for container image pulls. While these limits don’t apply to accounts under a Pro or Team plan, anonymous users are limited to 100 pulls per 6 hours per IP address, and authenticated free accounts are limited to 200 pulls per 6 hours. […]

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Latest updates to AWS Fargate for Amazon ECS

Recently, we announced features to improve the configuration and metric gathering experience of your tasks deployed via AWS Fargate for Amazon ECS. Based off of customer feedback, we added the following features: Environment file support Deeper integration with AWS Secrets Manager using secret versions and JSON keys More granular network metrics, as well as additional […]

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Announcing Amazon ECS deployment circuit breaker

Today, we announced the Amazon ECS deployment circuit breaker for EC2 and Fargate compute types. With this feature, Amazon ECS customers can now automatically roll back unhealthy service deployments without the need for manual intervention. This empowers customers to quickly discover failed deployments, while not having to worry about resources being consumed for failing tasks, […]

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